TML1.noncensored.control

Auxiliary function for <code>TML1.noncensored</code>. Typically only used
 internally by <code>TML1.noncensored</code>, but may be used to construct a control argument.
 This function provides default values.

R functions for the computation of the truncated maximum
likelihood and the robust accelerated failure time regression
for gaussian and log-Weibull case.

A. Randriamiharisoa

RobustAFT

Truncated Maximum Likelihood Fit and Robust Accelerated Failure
Time Regression for Gaussian and Log-Weibull Case

TML1.noncensored.control function

<dl> <dt>iv</dt>
<dd><ul>
<li>0: use and do not change the initial estimate of scale.</li>
<li>1: compute a truncated maximum likelihood estimate of scale.</li>
</ul></dd> <dt>gam</dt>
<dd>Relaxation factor for the IRLS algorithm for the final estimate. Set 0 &lt; gam &lt;= 1.</dd> <dt>maxit</dt>
<dd>Maximum number of iterations in the IRLS algorithm for the final estimate.</dd> <dt>tol</dt>
<dd>Relative tolerance in the IRLS algorithm for the final estimate.</dd>
 </dl>

Arguments

Control Parameters forTruncated Maximum Likelihood Estimation
       of Location and Scale — TML1.noncensored.control

<dl>

 <dt>iv</dt>
<dd><ul>
<li>0: use and do not change the initial estimate of scale.</li>
<li>1: compute a truncated maximum likelihood estimate of scale.</li>
</ul></dd>

 <dt>gam</dt>
<dd>Relaxation factor for the IRLS algorithm for the final estimate. Set 0 &lt; gam &lt;= 1.</dd>

 <dt>maxit</dt>
<dd>Maximum number of iterations in the IRLS algorithm for the final estimate.</dd>

 <dt>tol</dt>
<dd>Relative tolerance in the IRLS algorithm for the final estimate.</dd>
 </dl>

TML1.noncensored.control: Control Parameters forTruncated Maximum Likelihood Estimation of Location and Scale

Description

Usage

Value

Arguments

See Also